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SV2B defines a subpopulation of synaptic vesicles

Journal of Molecular Cell Biology 2023年第9期15卷 1-13页

作者： Isabelle Paulussen Hannes Beckert Timothy FMusial Lena J.Gschossmann julia Wolf Mathieu Schmitt Jérôme Clasadonte Georges Mairet-Coello Christian Wolff Susanne Schoch Dirk Dietrich Synaptic Neuroscience Team Department of NeurosurgeryUniversity Hospital BonnBonn 53127Germany Synaptic Neuroscience Team Department of NeuropathologyUniversity Hospital BonnBonn 53127Germany Microscopy Core Facility Medical FacultyUniversity of BonnBonn 53127Germany UCB Pharma Braine l’Alleud 1420Belgium

Synaptic vesicles can undergo several modes of exocytosis,endocytosis,and trafficking within individual synapses,and their fates may be linked to different vesicular protein ***,we mapped the intrasynaptic distribution of the synaptic vesicle proteins SV2B and SV2A in glutamatergic synapses of the hippocampus using three-dimensional electron ***2B was almost completely absent from docked vesicles and a distinct cluster of vesicles found near the active *** contrast,SV2A was found in all domains of the synapse and was slightly enriched near the active ***2B and SV2A were found on the membrane in the peri.active zone,suggesting the recycling from both clusters of ***2B knockout mice displayed an increased seizure induction threshold only in a model employing high-frequency *** data show that glutamatergic synapses generate molecularly distinct populations of synaptic vesicles and are able to maintain them at steep spatial *** almost complete absence of SV2B from vesicles at the active zone of wildtype mice may explain why SV2A has been found more important for vesicle release.

关键词： 3D electron microscopy synaptic vesicles synaptic vesicle proteins endocytosis trafficking spatial organization

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Artificial intelligence for renal cancer:From imaging to histology and beyond

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Asian Journal of Urology 2022年第3期9卷 243-252页

作者： Karl-Friedrich Kowalewski Luisa Egen Chanel E.Fischetti Stefano Puliatti Gomez Rivas Juan Mark Taratkin Rivero Belenchon Ines Marie Angela Sidoti Abate julia Muhlbauer Frederik Wessels Enrico Checcucci Giovanni Cacciamani department of Urology and Urological Surgery University Medical Centre MannheimMannheimGermany department of Emergency Medicine Brigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA Urology department University of Modena&Reggio EmiliaModenaItaly ORSI Academy MelleBelgium department of Urology Hospital Clinico San CarlosMadridSpain Institute for Urology and Reproductive Health Sechenov UniversityMoscowRussia Urology and Nephrology department Virgen del Rocı´o University HospitalManuel Siurot s/nSevilleSpain department of Surgery Candiolo Cancer InstituteFPO-IRCCSCandioloTurinItaly USC Institute of Urology University of Southern CaliforniaLos AngelesCAUSA

Artificial intelligence(AI)has made considerable progress within the last decade and is the subject of contemporary *** trend is driven by improved computational abilities and increasing amounts of complex data that allow for new approaches in analysis and *** cell carcinoma(RCC)has a rising incidence since most tumors are now detected at an earlier stage due to improved *** creates considerable challenges as approximately 10%e17%of kidney tumors are designated as benign in histopathological evaluation;however,certain co-morbid populations(the obese and elderly)have an increased peri.interventional *** offers an alternative solution by helping to optimize precision and guidance for diagnostic and therapeutic *** narrative review introduced basic principles and provide a comprehensive overview of current AI techniques for ***,AI applications can be found in any aspect of RCC management including diagnostics,peri.perative care,pathology,and *** commonly applied models include neural networks,random forest,support vector machines,and ***,for implementation in daily practice,health care providers need to develop a basic understanding and establish interdisciplinary collaborations in order to standardize datasets,define meaningful endpoints,and unify interpretation.

关键词： Kidney cancer Imaging Technology Artificial intelligence Machine learning

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临时修复体用于美学区域种植体周围软组织塑形：动态加压技术

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中国口腔医学继续教育杂志 2015年第3期18卷 131-137页

作者： julia—GabrielaWittneben DanielBuser jUrsCBelser UrsBraigger 廖文婷李彦不详中山大学光华口腔医学院广东省口腔医学重点实验室广东省广州市越秀区陵园西路56号 510055

种植修复后的美学效果由修复体和种植体周围软组织两方面因素共同决定。本文介绍一种动态加压技术即在美学区域用临时修复体来处理骨水平种植体周围软组织的临床方法。通过该技术希望能达到以下目的：建立合适的种植体穿龈部外形轮廓；... 详细信息

种植修复后的美学效果由修复体和种植体周围软组织两方面因素共同决定。本文介绍一种动态加压技术即在美学区域用临时修复体来处理骨水平种植体周围软组织的临床方法。通过该技术希望能达到以下目的：建立合适的种植体穿龈部外形轮廓；重新建立与邻牙牙龈相协调和谐的黏膜形态，包括龈乳头的高度、宽度黏膜顶点的位置及组织的三角形轮廓：以及建立一个与邻牙或种植冠准确的邻面接触区。

关键词：周围软组织临时修复体美学效果加压技术种植体塑形体用共同决定

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